Hongjun Wang
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View article: Fault Identification Method for Photovoltaic Power Grids Based on an Improved GABP Neural Network and Fuzzy System
Fault Identification Method for Photovoltaic Power Grids Based on an Improved GABP Neural Network and Fuzzy System Open
Fault detection and classification localization in photovoltaic power grids is a key challenge in photovoltaic power systems. Due to the greater fluctuation of power data in photovoltaic power grids, traditional grid fault detection method…
View article: Chromatic confocal measurement decoded using color recognition for high resolution, integration, and efficiency
Chromatic confocal measurement decoded using color recognition for high resolution, integration, and efficiency Open
We proposed a chromatic confocal measurement method for color recognition of spectral signals that uses a color detector. This method addressed insufficient color resolution using quantization-based subdivision, and it provided a theoretic…
View article: Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning
Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning Open
An aerial Radio Environment Map (REM) characterizes the spatial distribution of Received Signal Strength (RSS) across a geographic space of interest, which is crucial for optimizing wireless communication in the air. Aerial REM constructio…
View article: Triple Model Framework for Medical Diagnosis: Assist in the Decentralization of Medical Resources
Triple Model Framework for Medical Diagnosis: Assist in the Decentralization of Medical Resources Open
The extreme imbalance of medical resources in the world today makes it crucial to achieve the decentralization of medical resources. However, whether it is the quality of doctors or medical equipment, small hospitals in towns and villages …
View article: RSS‐Based Multiple User Terminal Localization With Unknown Propagation Parameters in 6G Application
RSS‐Based Multiple User Terminal Localization With Unknown Propagation Parameters in 6G Application Open
Since distributed sensing, storage, and computing are the frontiers for future sixth‐generation (6G) communication systems, user terminal (UT) localization based on received signal strength (RSS) data from wireless sensor networks (WSNs) h…
View article: Emergency Management in Japan: Human Decision‐Making Strategy Analysis During Large‐Scale Earthquake
Emergency Management in Japan: Human Decision‐Making Strategy Analysis During Large‐Scale Earthquake Open
In the context of unexpected disasters, comprehending individual decision‐making strategy is essential for governmental policy formulation and evacuation planning. The main challenges stem from the absence of large‐scale mobility data and …
View article: Accelerating Flood Warnings by 10 Hours: The Power of River Network Topology in AI-enhanced Flood Forecasting
Accelerating Flood Warnings by 10 Hours: The Power of River Network Topology in AI-enhanced Flood Forecasting Open
Climate change-driven floods demand advanced forecasting models, yet Graph Neural Networks (GNNs) underutilize river network topology due to tree-like structures causing over-squashing from high node resistance distances. This study identi…
View article: Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry
Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry Open
To overcome the phase sampling point limitations of testing aspherical surface wavefronts by using the traditional interferometers, we describe a high spatial resolution method of aspherical surface wavefront testing based on multi-directi…
View article: Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry
Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry Open
To overcome the phase sampling point limitations of testing aspherical surface wavefronts by using the traditional interferometers, we describe a high spatial resolution method of aspherical surface wavefront testing based on multi-directi…
View article: Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry
Aspherical Surface Wavefront Testing Based on Multi-directional Orthogonal Lateral Shearing Interferometry Open
To overcome the phase sampling point limitations of testing aspherical surface wavefronts by using the traditional interferometers, we describe a high spatial resolution method of aspherical surface wavefront testing based on multi-directi…
View article: Dynamical Modeling and Dynamic Characteristics Analysis of a Coaxial Dual-Rotor System
Dynamical Modeling and Dynamic Characteristics Analysis of a Coaxial Dual-Rotor System Open
The dual-rotor structure is the primary excitation source of aero-engine vibration. It is essential to study the dynamical model and analyse the dynamic characteristics such as critical speed and the unbalanced response for rotor system dy…
View article: The tracing algorithm of re-entry vehicle based on SMO
The tracing algorithm of re-entry vehicle based on SMO Open
The tracing problem of a re-entry vehicle includes the characters of lacking prior information on the target and disturbances. Thus, the classic nonlinear filtering algorithms are not suitable for high-accuracy tracing fields. In order to …
View article: SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning Open
Generalized Category Discovery (GCD) aims to classify unlabelled images from both `seen' and `unseen' classes by transferring knowledge from a set of labelled `seen' class images. A key theme in existing GCD approaches is adapting large-sc…
View article: An Intelligent Fault Diagnosis Method that Combines Operating Condition Attribute Encoding and Multi-scale Cascading Concept
An Intelligent Fault Diagnosis Method that Combines Operating Condition Attribute Encoding and Multi-scale Cascading Concept Open
In order to improve the generalization ability of the model under different working conditions and the robustness of intelligent fault diagnosis, and learn a broader feature representation, this paper proposes an intelligent fault diagnosi…
View article: Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution Open
Deep learning has led to a dramatic leap on Single Image Super-Resolution (SISR) performances in recent years. %Despite the substantial advancement% While most existing work assumes a simple and fixed degradation model (e.g., bicubic downs…
View article: Coordinated control strategy for microgrid based on improved virtual DC motor
Coordinated control strategy for microgrid based on improved virtual DC motor Open
The coordinated control strategy based on the improved virtual DC motor (VDCM) is proposed to address the bus voltage fluctuation of an isolated DC microgrid and the power distribution problem of multiple energy storage units. Firstly, the…
View article: DExH-box helicase 9 modulates hippocampal synapses and regulates neuropathic pain
DExH-box helicase 9 modulates hippocampal synapses and regulates neuropathic pain Open
Experimental studies have shown that neuropathic pain impairs hippocampal synaptic plasticity. Here, we sought to determine the underlying mechanisms responsible for synaptic changes in neuropathic painful mouse hippocampal neurons. Beyond…
View article: Overview and Application of Sparrow Search Algorithm in Deep Learning
Overview and Application of Sparrow Search Algorithm in Deep Learning Open
A brand-new swarm intelligence optimization algorithm called the Sparrow Search Algorithm (SSA) was put forth in 2020. By simulating the foraging process of sparrows, SSA efficiently solves optimization problems, exhibiting advantages such…
View article: Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Open
Recent years have witnessed the great potential of attention mechanism in graph representation learning. However, while variants of attention-based GNNs are setting new benchmarks for numerous real-world datasets, recent works have pointed…
View article: Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Open
Recent years have witnessed the great potential of attention mechanism in graph representation learning. However, while variants of attention-based GNNs are setting new benchmarks for numerous real-world datasets, recent works have pointed…
View article: Generalist: Decoupling Natural and Robust Generalization
Generalist: Decoupling Natural and Robust Generalization Open
Deep neural networks obtained by standard training have been constantly plagued by adversarial examples. Although adversarial training demonstrates its capability to defend against adversarial examples, unfortunately, it leads to an inevit…
View article: High Temperature-Resistant Transparent Conductive Films for Photoelectrochemical Devices Based on W/Ag Composite Nanonetworks
High Temperature-Resistant Transparent Conductive Films for Photoelectrochemical Devices Based on W/Ag Composite Nanonetworks Open
The traditional Ag nanowire preparation means that it cannot meet the demanding requirements of photoelectrochemical devices due to the undesirable conductivity, difficulty in compounding, and poor heat resistance. Here, we prepared an Ag …
View article: Intelligent identification technology for high‐order digital modulation signals under low signal‐to‐noise ratio conditions
Intelligent identification technology for high‐order digital modulation signals under low signal‐to‐noise ratio conditions Open
Based on the successful application of generative adversarial network (GAN) models in the field of image generation, this article introduces GANs into the field of deep learning for communication systems and surveys its application in modu…
View article: A Real-Time UAV Target Detection Algorithm Based on Edge Computing
A Real-Time UAV Target Detection Algorithm Based on Edge Computing Open
Small UAV target detection plays an important role in maintaining the security of cities and citizens. UAV targets have the characteristics of low-altitude flights, slow speeds, and miniaturization. Taking these characteristics into accoun…
View article: Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation Open
Travel time estimation from GPS trips is of great importance to order duration, ridesharing, taxi dispatching, etc. However, the dense trajectory is not always available due to the limitation of data privacy and acquisition, while the orig…